Skip To Main Content
Biomedical Informatics College on Muck Rack

Biomedical Informatics College

As seen in: Wiley, Wiley Online Library, Oxford University Press (OUP)
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Biomedical Informatics

Contact Biomedical Informatics, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Is Ferroptosis the Mechanistic Bridge Connecting Iron Dysregulation to Muscle Wasting and Functional Decline in Aging?

|
By Biomedical Informatics College, Anna Picca, Rola S. Zeidan, Simon Reinhard
| Wiley Online Library Verified
1 Introduction Decline in physical function is a key health concern for older adults, since it can lead to loss of independence, increased morbidity, and reduced quality of life (Aubert et al. 2022). Extensive evidence demonstrates that muscle wasting in older adults is strongly associated with declines in strength, mobility, and overall physical function, contributing to frailty and loss of independence (Cruz-Jentoft et al. 2019).
Open in Who Shared Issue with article?

DrugFormer: Graph‐Enhanced Language Model to Predict Drug Sensitivity

|
By Xiaona Liu, Qing Wang, Biomedical Informatics College, Minghao Zhou
| Wiley Online Library Verified
1 Introduction Drug resistance stands as a significant challenge in healthcare,[1] underscored by alarming response rates observed in clinical studies.
Open in Who Shared Issue with article?

How much food tracking during a digital weight‐management program is enough to produce clinically significant weight loss?

|
By Ran Xu, Richard Kwasi Bannor, Michelle Cardel, Biomedical Informatics College
| Wiley Online Library Verified
Abstract Objective The aim of this study was to identify the levels of food-tracking adherence that best predict ≥3%, ≥5%, and ≥10% weight loss at 6 months and to identify distinctive food-tracking trajectories among participants in a 6-month, commercial digital weight-management program. Methods This study used data from 153 participants of a single-arm trial of a commercial digital weight-management program, WeightWatchers (WW).
Open in Who Shared Issue with article?
See all 6 articles